Google Cloud certification practice
Practise Google Professional Data Engineer PDE across all 5 official exam domains — Designing Data Processing Systems, Ingesting and Processing the Data, Storing the Data, Preparing and Using Data for Analysis, and more — with original exam-style questions, full explanations, and wrong-answer analysis. Courseiva helps you prepare with realistic practice questions, topic-based revision, explained answers and structured study routes.
Ways to study PDE
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
New here? Start with this
Start with a 25-question practice test
Covers all 5 domains · takes ~5 min · no account needed · shows your weak areas immediately
Key facts for the Google Professional Data Engineer exam.
Exam cost
$200 USD / ~£160
Duration
120 minutes
Question count
~50-60 questions
Passing score
Pass / Fail (scaled score reported)
Validity
3 years
Delivered by
Kryterion (Webassessor)
Online proctored
Yes — available
Retake policy
14 days between attempts; after 3rd failure, 60-day waiting period
Question formats
The Google Cloud Professional Data Engineer certification (sometimes listed separately from PCDE) validates the ability to design, build, operationalise, and secure data processing systems. It covers data ingestion and transformation with Dataflow and Pub/Sub, large-scale analytics with BigQuery, batch processing with Dataproc, orchestration with Cloud Composer, and data governance. The certification demonstrates that holders can make informed decisions about data infrastructure trade-offs in production environments.
Official prerequisite
None — no formal prerequisites required
Recommended experience
3+ years of data engineering experience including 1+ year using Google Cloud data products
Data professionals who design, build, and operate data pipelines and analytics systems on Google Cloud
Should you skip this exam?
Skip if you have no data engineering experience; build SQL, Python, and data pipeline fundamentals first
Courseiva study tip
Spend extra time on BigQuery performance tuning (partitioning, clustering, slots), Dataflow streaming vs batch, and selecting the right storage solution for given access patterns
UK salary range
£60,000 – £95,000
US salary range
$115,000 – $160,000
Job roles that cite PDE
What certification to take next
The exam costs $200 USD.
Google does not disclose a numerical passing score. You receive a Pass or Fail result.
It is rated Moderate-Hard (4/5). Scenario-based questions about pipeline design and storage product selection are typically the hardest areas.
Approximately 50-60 questions in multiple choice and multiple select format.
BigQuery analytics and optimisation, Dataflow streaming and batch pipelines, Pub/Sub, Dataproc, Cloud Composer, data storage selection, and data security and governance.
3 years from the date you pass.
Data engineers and analytics professionals who design and build production data systems on Google Cloud.
See how PDE stacks up against related certifications.
100% free — no account required
Everything on Courseiva for PDE is free — no subscription, no trial, no email wall.
Courseiva Exam Intelligence
Data confidence: BuildingDerived from Courseiva's continuously updated practice dataset: 890 exam-style questions. Updated 2 July 2026.
Question difficulty mix
Average time per question: 90s
4
Exam domains
official blueprint domains covered by the bank
890
Questions
exam-style questions in the PDE bank
Practice modes
Choose a mode that matches your current study phase. Use topic practice early on and mock exams closer to your exam date.
All PDE Questions
Browse the full question bank organised by domain and difficulty.
Practice Test
Start a 20-question session with a full explanation after each answer.
Mock Exam
Simulate the real exam with a timed, full-length question set.
Quick 25
A 25-question warm-up — ideal for a short daily study session.
Flashcards
Reinforce key terms, commands, and protocol facts with flashcards.
Domain Practice
Focus exclusively on one exam domain to target your weakest area.
50-Question Set
Mid-length practice set covering all domains.
Exam guide
Start with a short practice session, review each missed answer, then return to the topics that caused mistakes.
Google Professional Data Engineer PDE spans 5 official exam domains (Designing Data Processing Systems, Ingesting and Processing the Data, Storing the Data, and more). Questions test whether you can apply each objective in a realistic scenario, not just recall a definition.
Related practice questions
Use these internal links to move from the exam guide into focused topic practice pages.
Practise PDE questions linked to Designing Data Processing Systems.
Practise PDE questions linked to Ingesting and Processing the Data.
Practise PDE questions linked to Storing the Data.
Practise PDE questions linked to Preparing and Using Data for Analysis.
Practise PDE questions linked to Maintaining and Automating Data Workloads.
Practise PDE questions linked to PDE fundamentals.
Practise PDE questions linked to PDE scenario.
Practise PDE questions linked to PDE troubleshooting.
Practice directory
Every practice set is a unique selection of questions — numbered tests, domain-focused sessions, and topic-specific quizzes.
Showing 8 of 59 tests. See all 59 PDE practice tests →
Official blueprint
Target weak areas by practising questions from a single domain. Each domain page shows all questions, difficulty breakdown, and a focused practice session.
Practise PDE questions in this domain →
Practise PDE questions in this domain →
Practise PDE questions in this domain →
Practise PDE questions in this domain →
Practise PDE questions in this domain →
Deep-dive questions
The most-searched PDE questions — each with a detailed explanation, worked example, and full answer breakdown.
Learn the concepts
15 book-style chapters cover every PDE objective in plain English. Read the theory here, then test it with practice questions.
Chapter 1
Overview of Data Engineering on Google Cloud Platform
12 min read
Chapter 2
Designing Scalable and Reliable Data Storage
12 min read
Chapter 3
Data Modeling and Schema Design
12 min read
Chapter 4
Designing Data Pipelines and Orchestration
12 min read
Chapter 5
Building and Operationalizing Data Ingestion
12 min read
Chapter 6
Processing Batch Data with Cloud Dataproc
12 min read
Chapter 7
Processing Streaming Data with Cloud Dataflow
12 min read
Chapter 8
Managing Data Lakes and Warehouses
12 min read
Free study guide
The Courseiva PDE study guide covers exam format, the official domain blueprint with weights, a structured study plan, and domain-specific tips for each section. Use it alongside practice questions to build both conceptual depth and exam confidence.
Sample questions
Original exam-style questions — not copied from any exam or dump site. Open a question for the full answer breakdown.
You are using Cloud Workflows to orchestrate a series of API calls. You need to handle errors and retries. Which THREE features of Cloud Workflows can you use? (Choose THREE.)
A manufacturing company wants to detect anomalies in sensor data from thousands of IoT devices in real time. The data is streaming into Pub/Sub. The best solution should use a mach…
You have a BigQuery table with sales data and want to pivot product categories into columns. Which SQL clause should you use?
Which TWO are best practices for monitoring a deployed machine learning model in production on Vertex AI?
You are using Vertex AI Feature Store to serve features for online predictions. Your model requires features from multiple sources with low latency (<10ms). Which type of serving s…
Your team is using Vertex AI Pipelines to orchestrate a model retraining workflow. The pipeline includes a data validation step, a training step, and a model evaluation step. You w…
Related certifications
Studying for PDE? These related Google Cloud certifications share concepts and are common next steps.
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Google Professional Cloud Developer
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Google Professional Cloud Security Engineer
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Google Professional Cloud Architect
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Courseiva provides free Google Professional Data Engineer (PDE) practice questions with original exam-style questions, detailed explanations, topic-based practice, mock exams, readiness tracking, and study analytics. Courseiva is an independent platform and is not affiliated with Google Cloud.